Canopy 7
Senior Data Analyst
Detroit, Michigan, United States · Senior
Sponsorship not specified$97k-$132kDetected 89 days ago
AlgorithmsSQLAWSAzureGrafanaMachine LearningDeep LearningTensorFlowData ScienceData VisualizationMLOpsStatisticsA/B TestingCybersecurityDetection EngineeringExperimental DesignCommunicationProblem SolvingPublic Speaking
About the role
- Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools.
- Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools.
- Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations.
Responsibilities
- Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights.
- Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments.
- Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously.
- A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
- At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology.
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in programming languages such as Python.
- Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively.
Nice to have
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
- Experience where data science has driven significant business outcomes.
- Strong understanding of A/B testing, experimental design, and causal inference techniques.
- Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments.
- Employee and Family Assistance Program (EAP).
- Employee discount programs.
Compensation
- $96,900 - $132,300 Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology.
Benefits
- Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems.
- Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.
- 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling.
Equal opportunity
- Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Apply directly at Canopy 7 →Create a free account for alerts like thisView Canopy 7 immigration profile
This listing is sourced directly from Canopy 7's careers page and normalized into a canonical job model.